The Signal-to-Noise Behavior of 3D SPIRiT Image Reconstruction

Yulin V Chang1, Marta Vidorreta2, and John Detre2

1National Institutes of Health, Bethesda, MD, United States, 2Neurology, University of Pennsylvania, Philadelphia, PA, United States

Self-consistent parallel imaging (SPIRiT) is a
self-calibrated, iterative parallel imaging technique that is not restricted by
a particular k-space sampling pattern. 3D SPIRiT takes advantage of the 3D
arrangement of a modern receive array to further improve image quality.
Although SPIRiT was shown to yield higher image quality than does GRAPPA,
especially at acceleration factors higher than 2, its signal-to-noise behavior
has not been rigorously studied. In this study we investigate the image quality
behavior of 3D SPIRiT and determine the optimal condition for best image
quality.

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